A Slug Flow Platform with Multiple Process Analytics Facilitates Flexible Reaction Optimization

Autor:	Florian Wagner, Peter Sagmeister, Clemens E. Jusner, Thomas G. Tampone, Vidhyadhar Manee, Frederic G. Buono, Jason D. Williams, C. Oliver Kappe
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Buchwald–Hartwig amination data‐rich experimentation flow chemistry kinetics self‐optimization Science
Zdroj:	Advanced Science, Vol 11, Iss 13, Pp n/a-n/a (2024)
Druh dokumentu:	article
ISSN:	2198-3844
DOI:	10.1002/advs.202308034
Popis:	Abstract Flow processing offers many opportunities to optimize reactions in a rapid and automated manner, yet often requires relatively large quantities of input materials. To combat this, the use of a flexible slug flow reactor, equipped with two analytical instruments, for low‐volume optimization experiments are reported. A Buchwald–Hartwig amination toward the drug olanzapine, with 6 independent optimizable variables, is optimized using three different automated approaches: self‐optimization, design of experiments, and kinetic modeling. These approaches are complementary and provide differing information on the reaction: pareto optimal operating points, response surface models, and mechanistic models, respectively. The results are achieved using
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b436edb239a447328f4da96937ddb58e Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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